Mac16,3
Geekbench AI Score
8305
Single Precision Score
9467
Half Precision Score
8783
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 13 2024 04:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B2083) |
| Model | Mac16,3 |
| Model ID | Mac16,3 |
| Motherboard | Mac16,3 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4427
823.3 IPS |
|
|
Image Classification (HP)
|
100% |
4774
887.8 IPS |
|
|
Image Classification (Q)
|
97% |
4124
769.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4888
79.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
6716
108.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
7118
115.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28185
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30014
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
28595
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
4771
378.5 IPS |
|
|
Object Detection (HP)
|
100% |
5220
414.1 IPS |
|
|
Object Detection (Q)
|
91% |
4418
353.1 IPS |
|
|
Face Detection (SP)
|
100% |
12586
149.6 IPS |
|
|
Face Detection (HP)
|
100% |
15786
187.6 IPS |
|
|
Face Detection (Q)
|
100% |
11857
140.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
20288
156.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
22353
172.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
19077
149.1 IPS |
|
|
Style Transfer (SP)
|
100% |
55904
71.9 IPS |
|
|
Style Transfer (HP)
|
100% |
67722
87.1 IPS |
|
|
Style Transfer (Q)
|
96% |
63765
82.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11575
427.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12713
469.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10224
377.5 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5377
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1095
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
929
16.1 IPS |
